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Request 913476 accepted

- Update to 2.6.0
Major changes are:
* Keras been split into a separate PIP package (keras), and its
code has been moved to the GitHub repositorykeras-team/keras.
The API endpoints for tf.keras stay unchanged, but are now
backed by the keras PIP package. The existing code in
tensorflow/python/keras is a staled copy and will be removed in
future release (2.7). Please remove any imports to
tensorflow.python.keras and replace them with public tf.keras
API instead.
* tf.train.experimental.enable_mixed_precision_graph_rewrite is
removed, as the API only works in graph mode and is not
customizable. The function is still accessible under
tf.compat.v1.mixed_precision.enable_mixed_precision_graph_rewrite,
but it is recommended to use the Keras mixed precision API
instead.
* tf.lite: Remove experimental.nn.dynamic_rnn,
experimental.nn.TfLiteRNNCell and
experimental.nn.TfLiteLSTMCell since they're no
longer supported. It's recommended to just use keras lstm
instead.
* tf.keras: The methods Model.to_yaml() and
keras.models.model_from_yaml have been replaced to raise a
RuntimeError as they can be abused to cause arbitrary code
execution. It is recommended to use JSON serialization instead
of YAML, or, a better alternative, serialize to H5.
- Major changes from 2.5.x:
* Support for Python3.9 has been added.
* The TF_CPP_MIN_VLOG_LEVEL environment variable has been renamed
to to TF_CPP_MAX_VLOG_LEVEL which correctly describes its



Christian Goll's avatar

Thanks for your contribution, building tensorflow is really tough. Also I am sorry for the late reply from my side, but I was on vacations. I still see a problem, as tensorflow does not build on amd64 (I mean really Ryzen CPUs, it builds on my old Core i7), but I will try to fix this.


Christian Goll's avatar

Local build on my machine failed, as bazel detected the local NVIDIA driver. kvm build was successful.

Request History
Fusion Future's avatar

fusionfuture created request

- Update to 2.6.0
Major changes are:
* Keras been split into a separate PIP package (keras), and its
code has been moved to the GitHub repositorykeras-team/keras.
The API endpoints for tf.keras stay unchanged, but are now
backed by the keras PIP package. The existing code in
tensorflow/python/keras is a staled copy and will be removed in
future release (2.7). Please remove any imports to
tensorflow.python.keras and replace them with public tf.keras
API instead.
* tf.train.experimental.enable_mixed_precision_graph_rewrite is
removed, as the API only works in graph mode and is not
customizable. The function is still accessible under
tf.compat.v1.mixed_precision.enable_mixed_precision_graph_rewrite,
but it is recommended to use the Keras mixed precision API
instead.
* tf.lite: Remove experimental.nn.dynamic_rnn,
experimental.nn.TfLiteRNNCell and
experimental.nn.TfLiteLSTMCell since they're no
longer supported. It's recommended to just use keras lstm
instead.
* tf.keras: The methods Model.to_yaml() and
keras.models.model_from_yaml have been replaced to raise a
RuntimeError as they can be abused to cause arbitrary code
execution. It is recommended to use JSON serialization instead
of YAML, or, a better alternative, serialize to H5.
- Major changes from 2.5.x:
* Support for Python3.9 has been added.
* The TF_CPP_MIN_VLOG_LEVEL environment variable has been renamed
to to TF_CPP_MAX_VLOG_LEVEL which correctly describes its


Christian Goll's avatar

mslacken accepted request

Thanks again, looks good.

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